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Data Engineer - CPT

Decision Inc

Cape Town

On-site

ZAR 500,000 - 800,000

Full time

16 days ago

Job summary

A global management and technology consulting organization is seeking strong Data Engineers to join their Data, Information, and Analytics team as consultants. This role involves engaging with clients to develop data solutions, modernizing data environments, and building efficient data pipelines. The ideal candidate should have a Bachelor's degree in Computer Science and at least 3 years of experience in data engineering, along with strong SQL skills and familiarity with cloud technologies. Competitive salary offered.

Qualifications

  • Minimum 3 years of experience in data engineering.
  • Advanced SQL skills and experience with relational databases.
  • Ability to work with unstructured datasets and perform root cause analysis.

Responsibilities

  • Engage with clients to develop data solutions and modernize data environments.
  • Create and maintain optimal data pipeline architecture.
  • Collaborate with stakeholders to support data infrastructure needs.

Skills

SQL
Data pipeline optimization
Analytical skills
Project management
Cloud technologies (Azure, AWS, GCP)

Education

Bachelor's degree in Computer Science, Information Systems, or related field
Master's degree

Tools

PowerBI
QlikSense
Tableau

Job description

We are looking for strong Data Engineers to join our Data, Information and Analytics team as client-facing, permanently employed consultants. Someone who is passionate about data and implementing technology solutions and leading project teams to achieve business outcomes. There will be exposure to a wide range of industries, so the ability to quickly understand new business environments is essential.

Who are we?

Decision Inc is a global management and technology consulting organization. We help companies become Data Driven Businesses that are fit to take on the challenges of a digital world. Transforming their current operations and developing their new business platforms to scale innovation into the future. Our experience in leading technology and industry specializations have enabled us to help companies to make better decisions, faster.

We represent the leading technology brands and are experts in the implementation, support and execution of these technologies.

What Will You Do?

Key Responsibilities:

  • Engage with clients to conceptualize data solutions
  • Modernize existing data environments
  • Assist our sales team with Pre-Sales and POCs
  • Create and maintain optimal data pipeline architecture
  • Assemble large, complex data sets that meet business requirements
  • Identify, design, and implement internal process improvements such as automating manual processes, optimizing data delivery, and redesigning infrastructure for scalability
  • Build infrastructure for data extraction, transformation, and loading from various sources using Microsoft, Azure, AWS, GCP technologies
  • Develop analytics tools utilizing data pipelines to provide insights into customer acquisition, operational efficiency, and key business metrics
  • Collaborate with stakeholders including Executive, Product, Data, and Design teams to support data infrastructure needs
  • Work with data and analytics experts to enhance system functionality
  • Support desk operations where applicable

Who do you need to be:

  • Minimum 3 years of experience in data engineering
  • Advanced SQL skills and experience with relational databases and query authoring
  • Experience building and optimizing data pipelines, architectures, and structures
  • Ability to perform root cause analysis on data and processes to answer business questions and identify improvements
  • Strong analytical skills working with unstructured datasets
  • Experience supporting data transformation, structures, metadata, dependencies, and workload management
  • Proven ability to manipulate and extract value from large, disconnected datasets
  • Strong project management and organizational skills
  • Experience working with cross-functional teams in dynamic environments

Qualifications:

  • Bachelor's degree in Computer Science, Information Systems, Information Technology, or related field
  • Master's degree is advantageous

Microsoft Qualifications:

  • Microsoft Certified Solutions Associate: Data & Analytics (Advantageous)
  • SQL Server 2016 or later including Database Development, Administration, and BI Development
  • BI Reporting tools such as PowerBI, QlikSense, Tableau
  • Microsoft Certified Solutions Expert (Advantageous)
  • Azure Certifications (Advantageous)
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